Resource partitioning is a fundamental ecological concept in which cooccurring species reduce competition by using or specializing on different resources (1). It is widely accepted as a mechanism permitting similar species to cooccur, leading to increased levels of species diversity (2). Typically, resources are thought of as food, habitat, or behavioral features such as timing of foraging and ...

Comparing adaptations to noisy city environments with those to natural mountain environments on the community level can provide significant insights that allow an understanding of the impact of anthropogenic noise on invertebrates that employ loud calling songs for mate attraction, especially when each species has its distinct song, as in the case of cicadas. In this study, we investigated the ...

Microarchitectural timing channels enable unwanted information flow across security boundaries, violating fundamental assumptions. They leverage variations of several state-holding microarchitectural components and have been demonstrated instruction set architectures hardware implementations. Analogously to memory protection, (Ge et al. 2019) proposed <italic xmlns:mml="http://www.w3.org/1998/M...

This paper presents an uniied approach for partitioning and synthesizing high-level design speciications onto dynamically reconngurable multi-fpga architectures. We use the Joint Photographic Experts Group (jpeg) still image compression algorithm as a design example to demonstrate the eeectiveness of our approach. Central to our approach is the sparcs (Synthesis and Partitioning for Adaptive Re...

Despite pressing need, current relational database management systems (RDBMS) support for spatio-temporal data is limited and inadequate, and most existing spatio-temporal indices cannot be readily integrated into existing RDBMSs. This paper proposes a practical index for spatio-temporal (PIST) data, an indexing technique, rather than a new indexing structure, for historical spatio-temporal dat...

This work proposes a novel partitioning technique on the density-cube-based data model for Spatio-temporal clustering method. further adapts this approach to data. We have compared IMSTAGRID-the proposed algorithm ST-DBSCAN, AGRID+, and ST-AGRID algorithms found that IMSTAGRID improves interval expansion is able achieve uniformity in spatial temporal dimensional values. Three types of sets been...

Here it is proposed a novel adaptive transmission scheme for space-time trellis coded multipleinput multiple-output beamforming systems with imperfect channel state information at the transmitter, of which the signal constellation, total transmit power (temporal power), and power allocation among eigenbeams (spatial power) are jointly adapted to maximize the average spectral efficiency, subject...